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Pinecone Vector Databases Jobs in Atlanta, GA (NOW HIRING)

NMK Global Inc.

Generative AI Engineer

Alpharetta, GA · On-site

Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate. * Knowledge of prompt engineering and AI model evaluation. * Experience developing REST APIs using FastAPI or Flask.

New

Virtual Networx

AI/ML Engineer

Atlanta, GA · On-site

Vector Databases (Pinecone, FAISS, ChromaDB, Milvus) * LangChain or LlamaIndex * SQL and NoSQL databases * REST APIs and FastAPI/Flask * Git and CI/CD * AWS, Azure, or Google Cloud * Docker and ...

New

AGS

DevOps Platform Engineer

Duluth, GA · On-site

$48.50 - $66.50/hr

Provision and manage the agentic AI platform infrastructure - LLM API gateway, vector database (Pinecone/pgvector), container-based agent deployment, and model serving endpoints * Container ...

Sumeru

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Support integration with vector databases (e.g., Pinecone, pgvector, Qdrant) for semantic search across customer data Education and Work Experience * Bachelor's or Master's degree in Computer Science ...

Waystar

Senior ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. • Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes, or ...

United Airlines

Lead Data Scientist

Atlanta, GA

$150K/yr

Vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS, Milvus) * Experience with Cloud AI platforms and services: * AWS SageMaker * Azure Machine Learning * Google Cloud AI Platform / Vertex AI

Eisneramper Llp

AI Solution Architect

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and ...

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Pinecone Vector Databases information

What is a Pinecone Vector Database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone Vector Database Engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone Vector Databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Atlanta, GA? For Pinecone Vector Databases jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Atlanta, GA look for? The top searched job categories for Pinecone Vector Databases jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Pinecone Vector Databases jobs? Cities near Atlanta, GA with the most Pinecone Vector Databases job openings:
Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in Atlanta, GA as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution.

Generative AI Engineer

NMK Global Inc.

Alpharetta, GA • On-site

Other

Posted 3 days ago

New

Job description

NMK Global Inc. is a global IT Services & Solutions company specializing in IT Staffing, Technology Consulting, Workforce Solutions, and Application Development Services. We help organizations build high-performing technology teams by connecting them with exceptional talent across a wide range of industries. Our expertise, industry knowledge, and consultative approach enable clients to achieve successful business outcomes while helping professionals advance their careers.

Job Title: Generative AI Engineer
Location: Alpharetta, GA (Onsite/Hybrid)
Job Type: Contract / Full-Time
Experience: 6–8 Years
 

Job Description:

We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate will have hands-on experience with Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and cloud AI services. You will work closely with cross-functional teams to build intelligent, scalable, and production-ready AI solutions.

Primary Skills:

  • Generative AI
  • Large Language Models (LLMs)
  • Python
  • LangChain
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • OpenAI / Azure OpenAI
  • Vector Databases
  • FastAPI
  • AWS / Azure / GCP

Required Skills:

  • 6–8 years of software development experience with at least 2+ years in Generative AI.
  • Strong programming experience in Python.
  • Hands-on experience with LLMs such as GPT, Claude, Llama, or Gemini.
  • Experience building applications using LangChain or LlamaIndex.
  • Strong understanding of RAG architecture and semantic search.
  • Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
  • Knowledge of prompt engineering and AI model evaluation.
  • Experience developing REST APIs using FastAPI or Flask.
  • Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, or Google Vertex AI).
  • Experience with Git, Docker, Kubernetes, and CI/CD pipelines.
  • Strong problem-solving and communication skills.

Nice to Have:

  • Experience with AI agents and agentic workflows.
  • Knowledge of Hugging Face Transformers.
  • Experience with MLflow, LangSmith, or AI observability tools.
  • Exposure to fine-tuning LLMs and model optimization.
  • Experience with Kafka or event-driven architectures.

Responsibilities:

  • Design and develop Generative AI applications using LLMs.
  • Build RAG-based solutions with vector databases.
  • Develop and optimize prompts for AI use cases.
  • Integrate AI models with enterprise applications through REST APIs.
  • Evaluate AI model performance and improve response quality.
  • Collaborate with business stakeholders, data scientists, and engineering teams.
  • Deploy and monitor AI solutions in cloud environments.
  • Follow best practices for AI security, governance, and scalability.

Education:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field

 NMK Global Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to age, race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.

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